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Seamless Learning in the Production

Author:
Spitzer, Michael [DBLP] ;
Schafler, Marlene [DBLP] ;
Milfelner, Matjaž [DBLP]
Abstract
Production SMEs in the automotive value chain/network are increasingly confronted with a serious number of specific requirements and regulations. Compared to large enterprises especially blue-collar workers have to deal with shared responsibilities at the shop floor in order to fulfill the different tasks they have to perform. There is a great need of an overall on-the-job knowledge, available in the right time at the right place. In this case workers need seamless learning in real-life situations (“in-situ”, pervasive learning), a field which is still emerging, especially in settings of production SMEs. This industrial challenge gives rise to the following research questions: How need such learning services to be designed in order to achieve a high acceptance rate by learners and/or trainers? What are multimodal input and output interactions as well as interfaces suitable for HCI concepts for learning? How can contextual data be applied for high efficiency and efficacy of context-aware pervasive learning? Therefore we examine a context-of-use scenario in a metal forming SME for the purpose of developing a mobile pervasive learning system.
  • Citation
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Spitzer, M., Schafler, M. & Milfelner, M., (2017). Seamless Learning in the Production. In: Burghardt, M., Wimmer, R., Wolff, C. & Womser-Hacker, C. (Hrsg.), Mensch und Computer 2017 - Workshopband. Regensburg: Gesellschaft für Informatik e.V.. DOI: 10.18420/muc2017-ws04-0397
@inproceedings{mci/Spitzer2017,
author = {Spitzer, Michael AND Schafler, Marlene AND Milfelner, Matjaž},
title = {Seamless Learning in the Production},
booktitle = {Mensch und Computer 2017 - Workshopband},
year = {2017},
editor = {Burghardt, Manuel AND Wimmer, Raphael AND Wolff, Christian AND Womser-Hacker, Christa} ,
doi = { 10.18420/muc2017-ws04-0397 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Regensburg}
}
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More Info

DOI: 10.18420/muc2017-ws04-0397
xmlui.MetaDataDisplay.field.date: 2017
Language: en (en)
Content Type: Text/Conference Paper
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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.